Time Domain Bearing Diagnosis Using Kurtosis Based Filtering and Fuzzy Logic

On this paper a bearing defects diagnosis method is introduced. This diagnosis method is based on time domain signal processing first step being the kurtosis based filtering. This filtering is based on the detection of the shock pulses generated by bearing defects. The diagnosis is done using the de...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 436; no. Engineering Decisions and Scientific Research in Aerospace, Robotics, Biomechanics, Mechanical Engineering and Manufacturing; pp. 287 - 294
Main Authors Tomesc, Liviu, Betea, Bogdan
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.10.2013
Subjects
Bearing
Defects
Diagnosis
Filtering
Filtration
Fuzzy
Kurtosis
Time domain
Bearing Diagnosis
Fuzzy Classification
Kurtosis Filtering
Online AccessGet full text

Cover

More Information
Summary:On this paper a bearing defects diagnosis method is introduced. This diagnosis method is based on time domain signal processing first step being the kurtosis based filtering. This filtering is based on the detection of the shock pulses generated by bearing defects. The diagnosis is done using the detected defects periods which are the inputs for a fuzzy classifier that provide defect alerts for each kind of bearing localize defect
Bibliography:Selected, peer reviewed papers from the International Conference on Smart Systems in all Fields of the Life-Aerospace, Robotics, Mechanical Engineering, Manufacturing Systems, Biomechatronics, Neurorehabilitation and Human Motricities (ICMERA), October 24-27, 2013, Bucharest, Romania
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:3037858982
9783037858981
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.436.287